Ghost Autonomy Inc.

Applied Intuition, Inc.

Apple Inc.

Shaun M Pacheco

Volkmar Uhlig

Riaz Ali

John Martin Hayes

Akash J Sagar

Justin Erickson

James S Cross

Prannay Khosla

Daniel D Schmidt

Ying Li

Mohammadamin Khajehnejad

Bobak Farzin

Wei Luo

Kevin A Gross

Arpita Ghosh Dastidar

Efrain Hernandez Franco

Ronan S Kerviche

Mickee Pun

Recalibrating stereoscopic cameras during vehicle operation may include: determining a disparity between first image data from a first camera and second image data from a second camera, wherein the first camera and the second camera are in a stereoscopic configuration, and wherein the disparity comprises a difference in placement of one or more objects in the first image data relative to the second image data; and adjusting one or more of the first camera or the second camera, based on the disparity and sensor data from a sensor other than the first camera or the second camera, to calibrate the stereoscopic configuration of the first camera and the second camera to achieve stereoscopic camera distance functionality.

Recalibrating stereoscopic cameras during vehicle operation

Reducing throughput of paired cameras, including: selecting, by a first camera of an autonomous vehicle, a first area of focus for a first frame generated by the first camera; selecting, by a second camera of the autonomous vehicle, a second area of focus for a second frame generated by the second camera by matching the first area of focus for the first frame; generating, by the first camera from the first frame, a first downsampled frame and a first cropped frame, wherein the first cropped frame is based on the first area of focus; and generating, by the second camera from the second frame, a second downsampled frame and a second cropped frame, wherein the second cropped frame is based on the second area of focus.

Reducing throughput of paired cameras

A system includes a camera module having an image sensor configured to capture image data and a thermal plate thermally coupled to the image sensor. A first temperature sensor is configured to capture a temperature of the image sensor. A thermoelectric cooler is included in the camera module, with a cold side of the thermoelectric cooler coupled to the thermal plate and a hot side of the thermoelectric cooler thermally coupled to a heat sink. A controller is coupled to the thermoelectric cooler and to the first temperature sensor. The controller is configured to generate a control signal in response to a comparison of the temperature of the image sensor to a stored temperature for the image sensor. The control signal adjusts transfer of heat between the cold side of the thermoelectric cooler and the hot side of the thermoelectric cooler.

Regulating temperature of an image sensor using a thermoelectric cooler

Dynamic calibration of cameras in a stereoscopic configuration may include: determining a disparity between first image data from a first camera and second image data from a second camera, wherein the first camera and the second camera are in a stereoscopic configuration, and wherein the disparity comprises a difference in placement of one or more objects in the first image data relative to the second image data; and adjusting one or more of the first camera or the second camera, based on the disparity and sensor data from a sensor other than the first camera and the second camera, to calibrate the stereoscopic configuration of the first camera and the second camera to achieve stereoscopic camera distance functionality.

Dynamic calibration of cameras in a stereoscopic configuration

Systems and methods for characterizing a camera system on a mobile device are disclosed. Characterization of the camera system may be implemented by providing a diffraction pattern of dots at controlled, defined angles to the camera system. Images of the diffraction pattern may be captured during a focus sweep through predetermined focus positions and/or while changing the relative locations between the lens and image sensor at the predetermined focus positions. The captured images may be analyzed to determine calibration data that provides physical measurement of properties of the camera system. The calibration data may then be implemented by the camera system to produce enhanced imaging on the mobile device.

Physical characterization of camera system for super-resolution imaging

Throughput reduction in autonomous vehicle camera sensors, including: generating, by a camera sensor, a frame; selecting an area of focus for the frame; and generating, by the camera sensor from the frame, a downsampled frame and a cropped frame, wherein the cropped frame is based on the area of focus.

Throughput reduction in autonomous vehicle camera sensors

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Santa Clara, CA, United States of America

Shaun M Pacheco